New KNIME Release Helps Enterprises Scale GenAI While Reducing Risk
23 Julio 2024 - 9:03AM
Business Wire
Data workers can now access all latest AI
advancements and a customizable suite of controls to manage GenAI
risk
KNIME, one of the leading open-source data science and AI
companies, is announcing a new release to help enterprises securely
scale their use of GenAI. The new GenAI features allow
organizations to access more AI models, govern which AI models are
being used by their data science teams, and ensure no leakage of
sensitive data.
The risk factor attached to GenAI is currently one of the most
acute blockers to widespread GenAI adoption. Forty-four percent of
organizations have already admitted to experiencing negative
consequences from GenAI-related risks.1 And 27% have resorted to
simply banning GenAI usage outright to manage that risk.2 GenAI is
set to be the transformative technology of our decade and companies
are in a race to adopt it. But the fear-based reaction to back away
from GenAI is a clear sign that people need tools to manage the
risk.
That’s why KNIME’s latest release offers access to the latest
and greatest in GenAI technology with a customizable set of
internal controls, ranging from dedicated model routing, to PII
anonymization, to access management, and more.
With KNIME, companies no longer have to resort to outright bans,
but can use GenAI securely and according to their own risk
assessment and internal policies. Every company wants to build
GenAI into their work, reap efficiencies, and move their pilot
projects into production. With this release of KNIME Analytics
Platform and KNIME Business Hub, they can do just that.
“Governing data science processes is – or at least should have
been – on people’s radars for years. The risks presented by GenAI
are helping people realize that,” said Michael Berthold, founder
and CEO of KNIME. “KNIME was built from the beginning to help with
the continuous, safe deployment of data science processes in mind,
so it was straightforward for us to add a customizable set of
controls around GenAI. KNIME provides a single environment for data
scientists that balances innovation and control by giving data
workers access to as much new GenAI functionality as possible while
allowing them to control risk by putting the right governance
mechanisms in place.”
Now KNIME users can access all the latest GenAI advancements and
technologies in KNIME. Users can connect to the latest models from
commercial AI providers such as OpenAI, Azure OpenAI Service, and
Databricks. They can also access the most recent advancements in
local LLMs, such as Llama 3, to work with the latest models on
their local machines. They can connect to local and remote Hugging
Face Text Embedding Inference servers to access a wide range of
open-source embedding models for tasks like semantic search and
feature extraction. They can also easily connect to protected
Hugging Face Inference Endpoints to quickly spin up many GenAI
models for experimentation. Users can now also split documents for
retrieval augmented generation (RAG) in a single step to save
time.
KNIME now also provides a GenAI Gateway that allows IT to
centrally configure which GenAI providers and nodes can be accessed
and used by team members. This centralized management of GenAI
providers and models enhances governance and security, allowing IT
to control model accessibility in alignment with enterprise
policies.
Users can now make working with data and LLMs safe with new
Presidio and Giskard integrations. KNIME’s new capabilities based
on Microsoft Presidio help protect personally identifiable
information (PII) when sharing data with external LLM providers.
These capabilities can detect and anonymize sensitive information
such as names, phone numbers, and credit card numbers in text data
to prevent them being sent out to GenAI tooling, addressing key
concerns around data privacy and compliance in GenAI usage.
Additionally, a new Giskard-based extension helps users spot issues
in end-to-end machine learning workflows and helps them evaluate
robustness and bias for more reliable deployments.
This KNIME release allows organizations to confidently
productionize their GenAI use cases – with all the latest
advancements in GenAI technologies and a comprehensive set of
controls to manage risk. All of these features support KNIME’s
commitment to making data science and analytics intuitive and
accessible to everyone.
Users interested in learning more about the open source KNIME
Analytics Platform Version can download it for free here.
To find out more about the commercial KNIME Business Hub, get in
touch with the team at KNIME here.
About KNIME:
KNIME helps everybody make sense of data. Its free and
open-source KNIME Analytics Platform enables anyone – whether they
come from a business, technical or data background – to intuitively
work with data, every day.
KNIME Business Hub is the commercial complement to KNIME
Analytics Platform and enables users to collaborate on data science
and share insights across the organization.
Together, the products support the complete data science
lifecycle, allowing teams at all levels of analytics readiness to
support the operationalization of data and to build a scalable data
science practice.
References
- McKinsey The State of AI in Early 2024
- Cisco Data Privacy Study
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version on businesswire.com: https://www.businesswire.com/news/home/20240723874465/en/
For media inquiries, please contact:
Marissa Pasillas Walker Sands for KNIME
knime@walkersands.com